Mid-Level Python Data Scientist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Analyze, comprehend, and convert business challenges into mathematical models and Operations Research simulations (optimization and simulation).

• Develop robust computational models and utilize suitable mathematical solvers to resolve them.

• Create technologies, architectures, and software components that enhance and expand Operations Research operations.

• Implement and manage prescriptive models in production settings utilizing containers and continuous integration/continuous delivery (CI/CD) pipelines.

• Utilize large-scale optimization techniques and decomposition methods to tackle intricate problems.

• Incorporate statistical and machine learning approaches for process optimization and demand forecasting.

• Generate data visualizations and analytical reports to showcase results and aid in strategic decision-making.

• Work collaboratively with interdisciplinary teams and business sectors to provide comprehensive solutions.

• Adhere to and advocate for software engineering best practices, including version control, automated testing, debugging, and documentation.

⛳️ Requirements

• Extensive experience with mathematical modeling techniques, linear programming (LP), and mixed-integer programming (MIP).

• Practical experience in Python development beyond data analysis, covering code structure, algorithms, and best practices, and/or experience with C/C++.

• Direct experience in implementing optimization algorithms and integrating them with solvers.

• Familiarity with and experience in applying large-scale optimization techniques and decomposition methods.

• Knowledge of programming technologies such as Java and Python, alongside their primary frameworks.

• Experience in deploying analytical/prescriptive models to production, including containerization and CI/CD practices.

• Understanding of DevSecOps principles.

• Knowledge of data analysis, statistics, and machine learning in the context of optimization and demand forecasting.

• Expertise in software development best practices, including Git, debugging, unit testing, validation, and code maintenance.

• Proficiency with data visualization libraries such as Plotly, Seaborn, or Matplotlib.

• Experience with the Pyomo library is an advantage.

• Familiarity with commercial solvers such as Gurobi or CPLEX is a plus.

🏝️ Benefits

• Meal and/or food allowance.

• Health and dental insurance.

• Health insurance for your pet.

• Home office allowance (for remote positions).

• Welcome kit during onboarding.

• Life insurance.

• Zenklub, offering psychological and nutritional support.

• TotalPass.

• Ongoing certification and professional development program with partners including Adobe, Anthropic, AWS, Google, Microsoft, and Salesforce.

• Partnerships and discounts to facilitate your professional development.

• Access to UOL content.

• Maternity kit.

• Extended maternity and paternity leave.

• Employee referral program.